Print Email Facebook Twitter Towards a comprehensive model for predicting the quality of individual visual experience Title Towards a comprehensive model for predicting the quality of individual visual experience Author Zhu, Y. Heynderickx, I.E.J.R. Hanjalic, A. Redi, J.A. Faculty Electrical Engineering, Mathematics and Computer Science Department Intelligent Systems Date 2015-02-08 Abstract Recently, a lot of effort has been devoted to estimating the Quality of Visual Experience (QoVE) in order to optimize video delivery to the user. For many decades, existing objective metrics mainly focused on estimating the perceived quality of a video, i.e., the extent to which artifacts due to e.g. compression disrupt the appearance of the video. Other aspects of the visual experience, such as enjoyment of the video content, were, however, neglected. In addition, typically Mean Opinion Scores were targeted, deeming the prediction of individual quality preferences too hard of a problem. In this paper, we propose a paradigm shift, and evaluate the opportunity of predicting individual QoVE preferences, in terms of video enjoyment as well as perceived quality. To do so, we explore the potential of features of different nature to be predictive for a user’s specific experience with a video. We consider thus not only features related to the perceptual characteristics of a video, but also to its affective content. Furthermore, we also integrate in our framework the information about the user and use context. The results show that effective feature combinations can be identified to estimate the QoVE from the perspective of both the enjoyment and perceived quality. © (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only. Subject quality of viewing experiencebitrateperceptual qualityenjoyment prediction To reference this document use: http://resolver.tudelft.nl/uuid:51342fdf-54c3-4b0c-bd82-45b988a95dbb Publisher SPIE ISBN 978-162841484-4 Source https://doi.org/10.1117/12.2085002 Source Proceedings of SPIE- International Society for Optical Engineering 9394; Human Vision and Electronic Imaging XX, San Francisco, USA, 9-12 February 2015 Part of collection Institutional Repository Document type conference paper Rights © 2015 SPIE-IS&T Files PDF 320593.pdf 719.02 KB Close viewer /islandora/object/uuid:51342fdf-54c3-4b0c-bd82-45b988a95dbb/datastream/OBJ/view